Huawei eases payment services with new AI tool – SKILL - Huawei Central
Huawei eases payment services with new AI tool – SKILL Huawei Central
Could not retrieve the full article text.
Read on GNews AI Huawei →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
service
What is an MCP proxy and why does it need an approval layer?
MCP (Model Context Protocol) lets AI agents call external tools. A database query, a file write, an API call -- the agent decides what to do and the MCP server executes it. But there's nothing in the spec that evaluates whether that action should happen. An MCP proxy sits between the agent and the MCP server. It intercepts every tools/call request, does something with it, and forwards it (or doesn't). The proxy pattern isn't new -- it's how HTTP proxies, API gateways, and service meshes work. Apply it to MCP and you get an enforcement point for agent actions. Why a plain proxy isn't enough Most MCP proxies today do routing, load balancing, or observability. They watch traffic. Some log it. A few do rate limiting. None of that stops an agent from running DROP TABLE customers if the tool cal
I can't use the service anymore
I get this message while having a pro subscription: Error: Failed to perform inference: You have depleted your monthly included credits. Purchase pre-paid credits to continue using Inference Providers. Can you help me? Thank you Louis 1 post - 1 participant Read full topic
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Why I Run 22 Docker Services at Home
Somewhere in my living room, a 2018 gaming PC is running 22 Docker containers, processing 15,000 emails through a local LLM, and managing the finances of a real business. It was never supposed to do any of this. I run a one-person software consultancy in the Netherlands; web development, 3D printing, and consulting. Last year, I started building an AI system to help me manage it all. Eight specialized agents handling email triage, financial tracking, infrastructure monitoring, and scheduling. Every piece of inference runs locally. No cloud APIs touching my private data. This post covers the hardware, what it actually costs, and what I'd do differently if I started over. The Setup: Three Machines, One Mesh Network The entire system runs on three machines connected via Tailscale mesh VPN: do
![How to Embed ChatGPT in Your Website: 5 Methods Compared [2026 Guide]](https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fap1l58ek0p6aqj2yrzi6.png)
How to Embed ChatGPT in Your Website: 5 Methods Compared [2026 Guide]
You want ChatGPT on your website. Maybe for customer support. Maybe to answer FAQs automatically. Or maybe you're running live events and need AI to handle the flood of questions pouring into your chat room. Learning how to embed ChatGPT in your website is simpler than you think - but there's more to consider than most guides tell you. Here's the thing: most guides only cover half the picture. They show you how to add a basic AI chatbot widget. But what happens when 5,000 people hit your site during a product launch? What about moderating AI responses before your chatbot tells a customer something embarrassingly wrong? And what if you need AI assistance in a group chat, not just a 1-to-1 support conversation? To embed ChatGPT in your website, you have two main approaches: use a no-code pla
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!